Data Engineer (SQL & Autosys) - Banking/Financial Services

Job Title: SQL Data Engineer (Mid & Senior Levels)

Location: Hybrid - Charlotte, NC

Industry: Fortune 100 Financial Institution

Contract Duration: 12-24 Months

Start Date: ASAP

Openings: 5

Work Authorization: W2 Only

Interview Format: Microsoft Teams - One & Done

Pay Rate Range:

• Mid-Level: $53-57/hr

• Senior: $67-74/hr

?? Position Overview

We are actively hiring Mid-Level and Senior SQL Data Engineers to support the expansion of a leading financial institution's technology team. This division plays a pivotal role in building and maintaining scalable data pipelines that power mission-critical finance applications.

You'll be joining a team that thrives on ownership, technical rigor, and the ability to communicate effectively across data and business stakeholders. This is a chance to leave your mark on systems that directly impact decision-making at enterprise scale.

??? Core Responsibilities

• Design, build, and manage robust SQL-based ETL pipelines

• Leverage AutoSys (or similar) for job scheduling and orchestration

• Collaborate with upstream data providers and troubleshoot delivery or schema issues

• Translate complex data requirements into scalable engineering solutions

• Proactively identify and resolve pipeline performance bottlenecks

• Ensure high availability and accuracy of data across systems

• Maintain clear documentation of data flows and operational practices

• Participate in Agile ceremonies and report on dependencies and progress

? Required Skills

• 5+ years (Mid-Level) or 7+ years (Senior-Level) in Data Engineering roles

• Strong command over SQL and hands-on experience with ETL development

• Experience using AutoSys or comparable job control systems

• Proven background in supporting finance, banking, or enterprise tech environments

• Clear, concise communication, especially for client-facing or lead-level engagements

?? Preferred Qualifications

• Experience with Python or Apache Spark

• Exposure to CI/CD, version control, and performance tuning of data workflows

• Familiarity with data quality, governance, and compliance expectations

?? Not a Fit If You Are:

• Primarily a Big Data specialist (e.g., Hadoop, Hive, Kafka-heavy roles)

• Lacking recent hands-on experience with SQL and traditional ETL systems

• Unable to confidently communicate with technical and business stakeholders

?? Location & Schedule

• Hybrid Onsite : 3-4 days/week in Charlotte, NC or Dallas, TX

• Interview Slots Available Daily (1-5 PM ET) - quick turnaround guaranteed

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.